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How to use remove_nones method in localstack

Best Python code snippet using localstack_python

app.py

Source:app.py

...69    remove_nones = lambda params: {k: v for k, v in params.items() if v is not None}70    timeout = aiohttp.ClientTimeout(total=10)71    async with aiohttp.ClientSession(timeout=timeout) as session:72        async with session.get(73            REQUEST_URL, headers=remove_nones(HEADERS), params=remove_nones(url_params)74        ) as r:75            popup_news_data: Dict[str, Any] = await r.json()76            result: PopupVaccineNews = {"text": "", "buttons": []}77            for record in popup_news_data["records"]:78                if record["fields"]["title"] == "text":79                    result["text"] += record["fields"]["words"]80                else:81                    result["buttons"].append(record["fields"])82            return result83async def get_hospitals_from_airtable(84    offset: str = "", city: str = "èºåå¸"85) -> List[Hospital]:86    formula: str = f"{{æ½æç«ç¸£å¸ï¼èªåï¼}}='{city}'"87    url_params: AirTableRequestParams = {88        "filterByFormula": formula,89        "offset": offset,90        "maxRecords": 9999,91        "view": "çµ¦åç«¯é¡¯ç¤ºç¨çè³æ",92    }93    # Must make global constant locally scoped to support typechecking for94    # ternary operators for optionals95    api_key: Optional[str] = AIRTABLE_API_KEY96    REQUEST_URL: str = "https://api.airtable.com/v0/appwPM9XFr1SSNjy4/tblJCPWEMpMg86dI8"97    authorization: Optional[str] = "Bearer " + api_key if api_key is not None else None98    HEADERS: Dict[str, Optional[str]] = {"Authorization": authorization}99    timeout = aiohttp.ClientTimeout(total=10)100    return_list: list[Hospital] = []101    remove_nones = lambda params: {k: v for k, v in params.items() if v is not None}102    async with aiohttp.ClientSession(timeout=timeout) as session:103        async with session.get(104            REQUEST_URL, headers=remove_nones(HEADERS), params=remove_nones(url_params)105        ) as r:106            hospital_json_objects: Dict[str, Any] = await r.json()107            return_list = list(108                map(109                    lambda raw_data: parse_airtable_json_for_hospital(110                        raw_data["fields"]111                    ),112                    hospital_json_objects["records"],113                )114            )115            if "offset" in hospital_json_objects:116                return return_list + await get_hospitals_from_airtable(117                    hospital_json_objects["offset"]118                )119            else:120                return return_list121async def get_hospitals_links(122    offset: str = "", city: str = "èºåå¸"123) -> List[Dict[str, List[hospitalsLinks]]]:124    formula: str = f"{{ç¸£å¸ï¼ç´æåï¼}}='{city}'"125    url_params: AirTableRequestParams = {126        "filterByFormula": formula,127        "offset": offset,128        "maxRecords": 9999,129        "view": "åç«¯é¡¯ç¤ºç¨",130    }131    api_key: Optional[str] = AIRTABLE_API_KEY132    REQUEST_URL: str = "https://api.airtable.com/v0/appwPM9XFr1SSNjy4/%E9%A0%90%E7%B4%84%E9%80%A3%E7%B5%90%E6%B8%85%E5%96%AE"133    authorization: Optional[str] = "Bearer " + api_key if api_key is not None else None134    HEADERS: Dict[str, Optional[str]] = {"Authorization": authorization}135    timeout = aiohttp.ClientTimeout(total=10)136    remove_nones = lambda params: {k: v for k, v in params.items() if v is not None}137    async with aiohttp.ClientSession(timeout=timeout) as session:138        async with session.get(139            REQUEST_URL, headers=remove_nones(HEADERS), params=remove_nones(url_params)140        ) as r:141            links_json_objects: Dict[str, Any] = await r.json()142            recordsWithPrimaryKey = list(143                map(144                    lambda record: parse_airtable_json_hospitals_links(145                        record["fields"]146                    ),147                    links_json_objects["records"],148                )149            )150            if "offset" in links_json_objects:151                return recordsWithPrimaryKey + await get_hospitals_links(152                    links_json_objects["offset"]153                )...

base.py

Source:base.py

...65    # Graphs66    def create_plots(self, train_recorder, save_dir):67        fig, axes = create_fig((4, 4))68        plot_curves(axes[0, 0],69                    xs=[remove_nones(train_recorder.tape['episode_i'])],70                    ys=[remove_nones(train_recorder.tape['train_return'])],71                    xlabel='episode_i',72                    ylabel='train_return')73        axes[0, 1].plot(74            remove_nones(train_recorder.tape['eval_total_steps']),75            remove_nones(train_recorder.tape['eval_return_greedy']),76            label="greedy")77        axes[0, 1].plot(78            remove_nones(train_recorder.tape['eval_total_steps']),79            remove_nones(train_recorder.tape['eval_return_sampled']),80            color='green',81            label="sampled")82        axes[0, 1].set_xlabel('eval_total_steps')83        axes[0, 1].set_ylabel('eval_return')84        axes[0, 1].legend(loc="best")85        plot_curves(axes[0, 2],86                    xs=[remove_nones(train_recorder.tape['episode_i'])],87                    ys=[remove_nones(train_recorder.tape['episode_len'])],88                    xlabel='episode_i',89                    ylabel="episode_len")90        plot_curves(axes[1, 0],91                    xs=[remove_nones(train_recorder.tape['update_i_actor'])],92                    ys=[remove_nones(train_recorder.tape['pi_loss'])],93                    xlabel='update_i_actor',94                    ylabel='pi_loss')95        axes[1, 1].plot(96            remove_nones(train_recorder.tape['update_i_actor']),97            remove_nones(train_recorder.tape['policy_entropy']),98            label="exact",99            color="orange")100        axes[1, 1].set_xlabel('update_i_actor')101        axes[1, 1].set_ylabel('policy_entropy')102        plot_curves(axes[1, 2],103                    xs=[remove_nones(train_recorder.tape['update_i_actor'])],104                    ys=[remove_nones(train_recorder.tape['total_policy_loss'])],105                    xlabel='update_i_actor',106                    ylabel="total_policy_loss")107        # extra plots axes[2:,:] to be defined by child class...

vae_model.py

Source:vae_model.py

...69    # Graphs70    def create_plots(self, train_recorder, save_dir):71        fig, axes = create_fig((3, 3))72        plot_curves(axes[0, 0],73                    xs=[remove_nones(train_recorder.tape['update_i'])],74                    ys=[remove_nones(train_recorder.tape['reconstruction_loss'])],75                    xlabel='update_i',76                    ylabel='reconstruction_loss')77        plot_curves(axes[0, 1],78                    xs=[remove_nones(train_recorder.tape['update_i'])],79                    ys=[remove_nones(train_recorder.tape['prior_loss'])],80                    xlabel='update_i',81                    ylabel='prior_loss')82        plot_curves(axes[0, 2],83                    xs=[remove_nones(train_recorder.tape['update_i'])],84                    ys=[remove_nones(train_recorder.tape['total_loss'])],85                    xlabel='update_i',86                    ylabel='total_loss')87        plot_curves(axes[1, 0],88                    xs=[remove_nones(train_recorder.tape['update_i'])],89                    ys=[remove_nones(train_recorder.tape['lr'])],90                    xlabel='update_i',91                    ylabel='lr')92        plt.tight_layout()93        fig.savefig(str(save_dir / 'graphs.png'))...

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